Santander, the country's third largest privately held bank, will use SAS® Fraud Network Analysis, SAS Visual Analytics and SAS Grid Manager.

The expected result? Reduced fraud losses and operational costs through better management of the bank's daily big data generation.

"This year, we expect these new solutions to fuel our anti-fraud efforts and technology modernization, generating significant reduction of losses and gains in efficiency and productivity," said Fernando Diaz, Executive Director of Technology at Santander.

Santander wanted to increase processing efficiency and saw that analytics, data visualization and better system integration was the best path. According to Diaz, "The bank's objective is to significantly reduce fraud in three areas - credit card, current account and loan - with Fraud Network Analysis. We can also hope to improve efficiency when creating new retail credit policies and models."

SAS Visual Analytics provides a point-and-click environment to explore data graphically, and SAS Grid Manager offers a shared, managed analytics environment with workload balancing, high availability and parallel processing.

"We needed a flexible technology platform so our infrastructure could keep up with the growth of our business areas," said Diaz. "A platform that would give us autonomy to manage processes, prioritizing the most critical ones and optimizing the windows of peaks and valleys."

Santander's choice of SAS was based on loyalty, flexibility and project time frames. Also, the bank needed to improve information management with more options for adapting and altering models and increase efficiency so business areas can easily visualize scenarios and concepts.